Data Engineer

Boston, MA


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We need your help.

We’re looking for a self-motivated and detail-oriented data engineer to join our DataOps team. This opportunity will enable you contribute to the operation, support, and enhancement of our mission critical data operations platform and the development of data pipelines. Our data operations platform supports high volume, high velocity data ingestion and curation to support our existing, and rapidly expanding, health plan client base.

What you’ll do:

As a data engineer, you will be responsible for the execution and management of inbound client and internal service-based data pipelines. This encompasses the development, operation, and management of our client data hubs, including data intake, data quality assessment/evaluation and data curation and enrichment/preparation processes. Our client data hubs consist of various health plan data sources to support Decision Point services including our AI/ML platform, analytics platform and OPUS application. If this interests you, read on.

The position:

  • Design and develop scalable data integration (ETL/ELT) processes (including ingestion, cleansing, curation, unification, etc.)
  • Automate the processing of inbound client data feeds
  • Design and develop tools to support data profiling and data quality methodologies
  • Engage with our software engineering team to ensure precise data points per application specification
  • Provide periodic support to our customer success team

Skills & experience:

  • BS / MS in Computer Science, Engineering or applicable experience
  • 3+ years of experience with ETL/ELT and data pipeline principles
  • 3+ years of experience with Python, JavaScript, and/or PowerShell
  • 3+ years of SQL experience; Microsoft SQL Server or PostgreSQL preferred
  • Knowledge of data manipulation methodologies
  • Excellent verbal and written communication
  • Strong data profiling skills; Ability to discover and highlight unique patterns/trends within data to identify and solve complex problems
  • Keen understanding of EDW and other database design principles
  • Comfortable working with very large data sets and VLDB environment
  • Experience with version control tools: Git preferred
  • Experience with CI/CD such as Jenkins
  • Ability to write and interpret complex queries towards data-driven business solutions
  • Understanding of data science and machine learning concepts preferred
  • Experience working within hybrid cloud environment; AWS experience is a plus
  • Familiarity with data visualization tools such as Tableau or QuickSight is a plus
  • Experience with Python and PowerShell
  • Ability to write and interpret complex queries towards data-driven business solutions
  • Familiarity with healthcare data is a plus

Why Decision Point?:

We’re as passionate about our people as we are about making our mark on healthcare. Fostering a fun and challenging environment that’s centered around personal and professional growth has brought us to where we are today. We are constantly seeking out new ways to reinvest in our team members because let’s face it, we all do our best work when we feel valued.

  • Meaningful work
  • Remote friendly environment
  • We encourage outside the box ideas
  • Great healthcare coverage
  • Competitive compensation

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